Methane emissions against the background of natural and mining conditions in the Budryk and Pniówek mines in the Upper Silesian Coal Basin (Poland)

Dreger, Marcin; Kędzior, Sławomir

doi:10.1007/s12665-021-10063-4

Cited by 11 publications

(5 citation statements)

References 39 publications

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“…Marcin and Sławomir [28] reported methane levels and releases in two Polish coal mining operations. During 2016, Budryk mining CH4 emissions topped a total of 140 m3.…”

Section: Methane Emission In Coal Mines -Literature Reviewmentioning

confidence: 99%

Management of methane emission in coal mines using artificial neural networks: A systematic review

Sundas Matloob,

Li Yang,

Sumaiya Bashiru Danwana

et al. 2024

Int. J. Sci. Res. Arch.

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Underground mines are responsible for a large number of the released methane worldwide. Our study paper can contribute to mitigating methane emissions, hence reducing the concentration about greenhouse emissions within the environment and mitigating the associated hazardous risks. In this study, more than 45 recent journals on Methane emission in Coal Mines were gathered from Web of Science, IEEE Xplore, ScienceDirect, and ResearchGate. A systematic review is accomplished of the past four years of various parts of Methane gas emission such as anthropogenic emission sources, gas emissions detection, prediction of methane using different technology and the Artificial intelligence projection model for methane emission. The outcomes reveal that since the methane emission management has obtained increasing attention over the past four years. This study also shows that big countries are using technology to control and utilize the methane emission to reduce the energy crisis. To decrease the coal mine injuries, academic understanding of underground methane management has increased, different technologies are integrated and support from various IT departments has amplified for the forecasting. In the future, the most critical task for coal mines risk assessment is to restore the worker's trust in mine safety, and the primary solution is to give more awareness to the underground management and workers through utilizing Artificial Intelligence (AI) mainly Artificial Neural Networks (ANN).

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“…Marcin and Sławomir [28] reported methane levels and releases in two Polish coal mining operations. During 2016, Budryk mining CH4 emissions topped a total of 140 m3.…”

Section: Methane Emission In Coal Mines -Literature Reviewmentioning

confidence: 99%

Management of methane emission in coal mines using artificial neural networks: A systematic review

Sundas Matloob,

Li Yang,

Sumaiya Bashiru Danwana

et al. 2024

Int. J. Sci. Res. Arch.

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“…The methane content (Mc) in the USCB varies greatly and can change within the whole USCB area and even within one coal mine deposit (Dreger and Kędzior, 2021). Additionally, it increases with depth (Kotas, 1994;Tarnowski, 1989;Dreger and Kędzior, 2021). As an example, Fig.…”

Section: Sources Of Methane Emission In the Area Of The Uscbmentioning

confidence: 99%

Factors influencing the temporal variability of atmospheric methane emissions from Upper Silesia coal mines: a case study from the CoMet mission

Swolkień

Fix

Gałkowski³

2022

Atmos. Chem. Phys.

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Abstract. Methane is a powerful greenhouse gas responsible for around 20 % of radiative forcing (relative to the pre-industrial era) caused by all long-lived greenhouse gases (WMO, 2021). About 60 % of the global emissions are from anthropogenic sources, and coal mining is one of the largest contributors. Emissions are either estimated by bottom-up approaches (based on inventories) or top-down approaches (based on atmospheric measurements). Combining those with an accurate error estimation allows us to better characterise model errors e.g. caused by transport mechanisms. Here we provide a detailed description of factors influencing the coal mine methane emission variability. We use high-frequency (up to hourly) temporal data from seven coal mines in the Upper Silesian Coal Basin during the Carbon dioxide and Methane (CoMet 1.0) mission from 14 May to 13 June 2018. Knowledge of these factors for the individual ventilation shaft is essential for linking the observations achieved during the CoMet 1.0 mission with models, as most publicly available data in the bottom-up worldwide inventories provide annual emissions only. The methane concentrations in examined shafts ranged from 0.10 % to 0.55 %±0.1 % during the study period. Due to the changing scope of mining works performed underground, they were subjected to a significant variation on a day-to-day basis. The yearly methane average emission rate calculated based on 1 month's set of temporal data of the analysed subset of mines was of the order of 142.68 kt yr−1 (σ=18.63 kt yr−1), an estimate 27 % lower than the officially published State Mining Authority (WUG) data and 36 % lower than reported to the European Pollutant Release and Transfer Register (E-PRTR). We also found that emissions from individual coal mine facilities were over- and underestimated by between 4 % to 60 %, compared to the E-PRTR, when short-term records were analysed. We show that the observed discrepancies between annual emissions based on temporal data and public inventories result from (1) the incorrect assumption that the methane emissions are time-invariant, (2) the methodology of measurements, and lastly, (3) the frequency and timing of measurements. From the emission monitoring perspective, we recommend using a standardised emission measurement system for all coal mines, similar to the Methane Fire Teletransmission Monitoring System (SMP-NT/A). Legal safety requirements require all coal mines to implement this system. After an adaptation, the system could allow for gas flow quantification, necessary for accurate and precise estimations of methane emissions at a high temporal resolution. Using this system will also reduce the emission uncertainty due to factors like frequency and timing of measurements. In addition, it would be beneficial to separately identify the emissions from individual ventilation shafts and methane drainage stations. That would bridge the gap between bottom-up and top-down approaches for coal mine emissions. The intermittent releases of unutilised methane from the drainage stations are currently not considered when constructing regional methane budgets.

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“…The third group includes problems related to the greater gas capacity of coal seams lying at great depths. As the depth increases, the gas content in the coal seams and in the surrounding rocks increases [34], which makes access and exploitation difficult and complicated. Excessive amount of methane emitted into mining excavations is a factor that inhibits the progress of works in both access, preparatory and operational excavations, and therefore has a decisive influence on the method and intensity of ventilation.…”

Section: Relationship the Various Stages Of Mining Workmentioning

confidence: 99%

Access to Deposits as a Stage of Mining Works

et al. 2022

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An extremely important role in the underground method of mining deposits is the type of access, which is the initial stage of the mining operations. The main feature of mineral deposits is their exhaustiveness and the inability to restore resources. This necessitates the rational management of deposit resources, especially the minimization of resource losses during exploitation. This article presents information on the mining area and methods of access the deposits. In particular, attention was paid to the advantages and disadvantages of access by means of an adit, decline, and a vertical and inclined shaft. Given the relationships among the various stages of mining works, it was found that the number of active levels depends on the volume of production and the adopted mining methods. In addition, attention was drawn to the fact that the access to deposits at increasing depth is related to the intensification of natural hazards that affect the access structure.

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Methane emissions against the background of natural and mining conditions in the Budryk and Pniówek mines in the Upper Silesian Coal Basin (Poland)

Cited by 11 publications

References 39 publications

Management of methane emission in coal mines using artificial neural networks: A systematic review

Management of methane emission in coal mines using artificial neural networks: A systematic review

Factors influencing the temporal variability of atmospheric methane emissions from Upper Silesia coal mines: a case study from the CoMet mission

Access to Deposits as a Stage of Mining Works

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